Our philosopy is to start with exciting new scientific problems, identify, and carefully tune statistical analytic approaches designed to solve them.
Simple, easy to explain solutions are often the best, while other times subtler approaches are necessary.
It advances your knowledge of your own field by teaching you to look at it in new ways.
EVALUATING PROBLEMS is constructed in the following way: Week I.
The last 20-30 years have witnessed an unsustainable "bubble economy" in statistics, with many statisticians following for up to a decade the same theoretical idea.
Statistical Problem Solving Process
This led to a boom and bust cycle that left many young researchers asking themselves "what is the next big thing in Statistics?
As its name implies, this model is the road map to follow to solve problems. a) When the process isn't doing what it is supposed to and people don't know why.
b) When things keep going wrong no matter how hard everyone tries.
If we find that a difficult stat theory concept is the solution then we use it, though this seems to happen very rarely in practice.
Our methodological and applied focus is fundamentally pragmatic.